The development of high-rate-of-fire weapons imposes extreme demands on the rapidity， reliability， and environmental adaptability of ignition systems. Conventional mechanical or electrical contact ignition methods， plagued by inherent drawbacks such as wear， contact failure， and poor reliability under electromagnetic interference， are increasingly inadequate. Wireless induction ignition technology， based on the principle of electromagnetic induction， enables non-contact energy transfer to onboard warhead initiators via a spatial magnetic field. This approach fundamentally eliminates the bottlenecks associated with physical contacts， becoming a key technology underpinning advanced high-rate-of-fire weapon systems. This paper systematically reviews the research progress in wireless induction ignition technology. It summarizes advancements across several core areas： wireless power transfer modes， efficiency constraint mechanisms and influencing factor patterns， parameter optimization design for induction ignition systems， and radio-frequency safety design along with characterization testing. Finally， the paper provides an outlook on future development directions for wireless induction ignition technology.
Artificial intelligence is profoundly reshaping the underlying logic and winning mechanisms of air combat systems. This paper first summarizes the evolutionary history of air combat systems and their winning mechanisms， and proposes three characteristics of air combat systems in the artificial intelligence era. Amid the intelligent evolution of systems， air-to-air missiles are evolving from precision-guided weapons into aerial killing agents， exhibiting four key features： autonomy， reactivity， initiative and sociality. On the basis of the existing technical system， six critical technologies that need to be prioritized for intelligent air-to-air missiles are put forward， including the high-computing onboard missile platform for edge computing， lightweight cognitive models and reinforcement learning algorithms under physical constraints. Finally， the prospect of comprehensive empowerment of air-to-air missile research and development by artificial intelligence is envisioned， covering intelligent exploration in conceptual design， generative optimization in detailed design， data penetration in research and prototyping， and the closed-loop digital twin for test and verification.
In modern air combat systems， fuze plays a decisive role in kill chain closure and lethality control. Terahertz proximity fuze， as a novel detection technology， offers unique advantages. However， due to the short operating distances of fuze systems and the reduced wavelengths at terahertz frequencies， which enlarge the electrical dimensions of targets relative to the wavelength， the conventional far-field condition is no longer satisfied. Therefore， investigating target characteristics under near-field spherical-wave conditions is of great significance. However， existing research predominantly focuses on low-frequency， far-field scenarios， leaving a notable gap in the understanding of near-field terahertz scattering. To address this， the Large Element Physical Optics method in FEKO is adopted to simulate the radar cross section （RCS） of canonical targets in the terahertz band at various near-field distances. The results reveal that as the observation distance decreases， the target RCS generally declines across different aspect angles. At specific angles， the main lobe broadens alongside a significant drop in peak value. Notably， at very close ranges， the RCS of a dihedral corner no longer exhibits a distinct peak at the expected specular angle； instead， it oscillates with aspect variations， demonstrating a pattern fundamentally different from both far-field and other near-field conditions. This finding underscores the importance of selecting an appropriate observation distance to ensure validity when analyzing complex targets. Finally， when the far-field criteria are satisfied， the target’s near-field RCS behavior converges to the far-field pattern， validating the proposed methodology.
The computational accuracy and efficiency of engagement envelope generation directly affect the launch decision-making and attack effectiveness of air-to-air missiles in modern aerial combat. To address the large computational burden and the trajectory-guidance coupling inherent in omnidirectional engagement envelope modeling for airborne targets， this paper proposes an ultra-real-time intelligent generation algorithm for attack zones based on PINN-LSTM network. Firstly， the centroid dynamic equations for calculating the attack zone of air-to-air missiles are established， and the mathe-matical definitions and computational models for three typical engagement envelopes are formulated. Subsequently， to resolve the trajectory-guidance coupling in engagement envelope modeling， an optimal trajectory envelope generation algorithm based on Sequential Convex Optimization is developed. The optimal engagement envelope problem is transformed into a sequence of Second-Order Cone Programming problems， providing high-quality optimal trajectory datasets for network training. Then， a PINN-LSTM network structure for attack zone generation is designed by incorporating physical constraints， introducing the missile dynamic equations， flight trajectory parameters， and envelope boun-dary states into the network model， and a physics-constrained loss function and an adaptive training strategy are further introduced to improve both prediction accuracy and training efficiency of the network model. Finally， numerical simulation results demonstrate the correctness and computational efficiency of the proposed approach， providing a novel theoretical framework for air combat engagement decision-making.
With the rapid development of laser technology， the irradiation damage caused by high-energy lasers to typical infrared optical system lenses has become increasingly significant， directly impacting system performance and reliability. This paper systematically investigates the irradiation effects of high-energy lasers on typical infrared optical system lenses by combining theoretical research with experimental validation. In the theoretical research， the atmospheric transmission characteristics of high-energy lasers and the laser incidence model of a typical transmission optical system are analyzed. Taking a 50 kW high-energy laser as an example， the laser power transmission from the atmosphere to the optical system is simulated， and based on the dynamic laser power density distribution of the optical system lens， a thermo-mechanical coupling model of the lens under laser irradiation is established. In the experimental validation， a high-energy laser irradiation platform is utilized， combined with surface morphology microscopic analysis， to reveal the damage characteristics of the lens under laser irradiation， including temperature rise， cracking， surface melting， and ablation. Furthermore， finite element numerical simulation methods are employed to verify the thermo-mechanical chara-cteristics and laser-induced damage characteristics of the lens under irradiation. The results demonstrate that laser irradiation significantly increases the temperature gradient on the lens surface， leading to localized stress concentration and ultimately causing lens fragmentation.
